Vidula Bhole

2.5k total citations · 1 hit paper
14 papers, 1.9k citations indexed

About

Vidula Bhole is a scholar working on Nephrology, Rheumatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Vidula Bhole has authored 14 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nephrology, 4 papers in Rheumatology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Vidula Bhole's work include Gout, Hyperuricemia, Uric Acid (6 papers), Urticaria and Related Conditions (2 papers) and Inflammasome and immune disorders (2 papers). Vidula Bhole is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (6 papers), Urticaria and Related Conditions (2 papers) and Inflammasome and immune disorders (2 papers). Vidula Bhole collaborates with scholars based in Canada, United States and India. Vidula Bhole's co-authors include Diane Lacaille, J. Antonio Aviña‐Zubieta, Mary A. De Vera, Natalie McCormick, Hyon K. Choi, Lindsay C. Burns, Eswar Krishnan, Sung Woo Kim, M. Mushfiqur Rahman and Monira Rahman and has published in prestigious journals such as PLoS ONE, The American Journal of Medicine and Annals of the Rheumatic Diseases.

In The Last Decade

Vidula Bhole

14 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Validity of Diagnostic Codes for Acute Stroke in Administrative Databases: A Systematic Review

2015 315 citations Natalie McCormick, Vidula Bhole et al. PLoS ONE profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vidula Bhole Canada	14	631	473	415	402	367	14	1.9k
Natalie McCormick Canada	23	847 1.3×	351 0.7×	361 0.9×	512 1.3×	368 1.0×	58	2.0k
Katrin Uhlig United States	25	986 1.6×	463 1.0×	732 1.8×	431 1.1×	253 0.7×	56	2.9k
C. Michael Fored Sweden	18	587 0.9×	351 0.7×	237 0.6×	359 0.9×	764 2.1×	26	2.4k
James A. Sloand United States	24	1.1k 1.8×	257 0.5×	231 0.6×	234 0.6×	413 1.1×	73	2.4k
Eric N. van Roon Netherlands	25	368 0.6×	640 1.4×	152 0.4×	255 0.6×	371 1.0×	92	2.0k
Atiporn Ingsathit Thailand	26	663 1.1×	239 0.5×	173 0.4×	406 1.0×	146 0.4×	93	2.0k
Valerie Teal United States	27	1.0k 1.6×	329 0.7×	738 1.8×	682 1.7×	176 0.5×	50	2.6k
Manish D. Sinha United Kingdom	25	735 1.2×	450 1.0×	934 2.3×	250 0.6×	192 0.5×	156	2.9k
Matthew A. Roberts Australia	26	1.0k 1.7×	365 0.8×	718 1.7×	153 0.4×	346 0.9×	79	2.3k
Colin Geddes United Kingdom	31	1.4k 2.2×	681 1.4×	388 0.9×	443 1.1×	139 0.4×	112	3.3k

Countries citing papers authored by Vidula Bhole

Since Specialization

Citations

This map shows the geographic impact of Vidula Bhole's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vidula Bhole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vidula Bhole more than expected).

Fields of papers citing papers by Vidula Bhole

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vidula Bhole. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vidula Bhole. The network helps show where Vidula Bhole may publish in the future.

Co-authorship network of co-authors of Vidula Bhole

This figure shows the co-authorship network connecting the top 25 collaborators of Vidula Bhole. A scholar is included among the top collaborators of Vidula Bhole based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vidula Bhole. Vidula Bhole is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Wang, Weiqi, Vidula Bhole, & Eswar Krishnan. (2015). Chronic kidney disease as a risk factor for incident gout among men and women: retrospective cohort study using data from the Framingham Heart Study. BMJ Open. 5(4). e006843–e006843. 39 indexed citations

Doval, Dinesh Chandra, Rupal Sinha, Kapil Kumar, et al.. (2015). Immunohistochemical Profile of Breast Cancer Patients at a Tertiary Care Hospital in New Delhi, India. Asian Pacific Journal of Cancer Prevention. 16(12). 4959–4964. 27 indexed citations

McCormick, Natalie, Vidula Bhole, Diane Lacaille, & J. Antonio Aviña‐Zubieta. (2015). Validity of Diagnostic Codes for Acute Stroke in Administrative Databases: A Systematic Review. PLoS ONE. 10(8). e0135834–e0135834. 315 indexed citations breakdown →

McCormick, Natalie, Diane Lacaille, Vidula Bhole, & J. Antonio Aviña‐Zubieta. (2014). Validity of Heart Failure Diagnoses in Administrative Databases: A Systematic Review and Meta-Analysis. PLoS ONE. 9(8). e104519–e104519. 191 indexed citations

Aviña‐Zubieta, J. Antonio, Vidula Bhole, Neda Amiri, Eric C. Sayre, & Hyon K. Choi. (2014). The risk of deep venous thrombosis and pulmonary embolism in giant cell arteritis: a general population-based study. Annals of the Rheumatic Diseases. 75(1). 148–154. 52 indexed citations

McCormick, Natalie, Diane Lacaille, Vidula Bhole, & J. Antonio Aviña‐Zubieta. (2014). Validity of Myocardial Infarction Diagnoses in Administrative Databases: A Systematic Review. PLoS ONE. 9(3). e92286–e92286. 213 indexed citations

Vera, Mary A. De, et al.. (2014). Medication Adherence in Gout: A Systematic Review. Arthritis Care & Research. 66(10). 1551–1559. 141 indexed citations

Vera, Mary A. De, Vidula Bhole, Lindsay C. Burns, & Diane Lacaille. (2014). Impact of statin adherence on cardiovascular disease and mortality outcomes: a systematic review. British Journal of Clinical Pharmacology. 78(4). 684–698. 221 indexed citations

Chhina, Harpreet, Vidula Bhole, Charles H. Goldsmith, et al.. (2013). Effectiveness of Academic Detailing to Optimize Medication Prescribing Behaviour of Family Physicians. Journal of Pharmacy & Pharmaceutical Sciences. 16(4). 511–511. 39 indexed citations

10.

Bhole, Vidula & Eswar Krishnan. (2013). Gout and the Heart. Rheumatic Disease Clinics of North America. 40(1). 125–143. 15 indexed citations

11.

Bhole, Vidula, et al.. (2011). Differences in body mass index among individuals with PsA, psoriasis, RA and the general population. Lara D. Veeken. 51(3). 552–556. 111 indexed citations

12.

Vera, Mary A. De, Monira Rahman, Vidula Bhole, Jacek A. Kopec, & Hyon K. Choi. (2010). Independent impact of gout on the risk of acute myocardial infarction among elderly women: a population-based study. Annals of the Rheumatic Diseases. 69(6). 1162–1164. 117 indexed citations

13.

Bhole, Vidula, et al.. (2010). Serum Uric Acid Levels and the Risk of Type 2 Diabetes: A Prospective Study. The American Journal of Medicine. 123(10). 957–961. 246 indexed citations

14.

Bhole, Vidula, Mary A. De Vera, M. Mushfiqur Rahman, Eswar Krishnan, & Hyon K. Choi. (2010). Epidemiology of gout in women: Fifty‐two–year followup of a prospective cohort. Arthritis & Rheumatism. 62(4). 1069–1076. 153 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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